GB0816041D0 - Method of modelling a subterranean region of the earth - Google Patents

Method of modelling a subterranean region of the earth

Info

Publication number
GB0816041D0
GB0816041D0 GBGB0816041.8A GB0816041A GB0816041D0 GB 0816041 D0 GB0816041 D0 GB 0816041D0 GB 0816041 A GB0816041 A GB 0816041A GB 0816041 D0 GB0816041 D0 GB 0816041D0
Authority
GB
United Kingdom
Prior art keywords
location
modelling
earth
rock physics
distribution
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
GBGB0816041.8A
Other versions
GB2463242B (en
GB2463242A (en
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Equinor ASA
Original Assignee
Statoil ASA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Statoil ASA filed Critical Statoil ASA
Priority to GB0816041.8A priority Critical patent/GB2463242B/en
Publication of GB0816041D0 publication Critical patent/GB0816041D0/en
Priority to US13/061,803 priority patent/US9069100B2/en
Priority to CA2735915A priority patent/CA2735915C/en
Priority to PCT/EP2009/061420 priority patent/WO2010026198A2/en
Publication of GB2463242A publication Critical patent/GB2463242A/en
Priority to NO20110492A priority patent/NO344432B1/en
Application granted granted Critical
Publication of GB2463242B publication Critical patent/GB2463242B/en
Priority to US14/710,277 priority patent/US20150316668A1/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
    • G01V1/282—Application of seismic models, synthetic seismograms
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
    • G01V1/30—Analysis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/62—Physical property of subsurface
    • G01V2210/622—Velocity, density or impedance
    • G01V2210/6224—Density
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/66—Subsurface modeling
    • G01V2210/661—Model from sedimentation process modeling, e.g. from first principles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/66—Subsurface modeling
    • G01V2210/665—Subsurface modeling using geostatistical modeling

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • General Physics & Mathematics (AREA)
  • Geophysics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Acoustics & Sound (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Geophysics And Detection Of Objects (AREA)
  • Length Measuring Devices With Unspecified Measuring Means (AREA)
  • Steering Control In Accordance With Driving Conditions (AREA)

Abstract

A method of modelling a subterranean region of the Earth at a first location comprises the steps of: providing geological data; selecting a plurality of facies; providing a distribution of rock physics probability with spatial dependencies; approximating the rock physics probability at the first location with at least one distribution per facies utilizing the spatial dependencies in the rock physics probability distribution; and performing a Bayesian inversion at the first location using the approximation of the rock physics probability distribution. The method may also employ a window comprising the first location and at least one further location.
GB0816041.8A 2008-09-03 2008-09-03 Method of modelling a subterranean region of the earth Active GB2463242B (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
GB0816041.8A GB2463242B (en) 2008-09-03 2008-09-03 Method of modelling a subterranean region of the earth
US13/061,803 US9069100B2 (en) 2008-09-03 2009-09-03 Method of modelling a subterranean region of the earth by performing a bayesian inversion
CA2735915A CA2735915C (en) 2008-09-03 2009-09-03 Method of modelling a subterranean region of the earth
PCT/EP2009/061420 WO2010026198A2 (en) 2008-09-03 2009-09-03 Method of modelling a subterranean region of the earth
NO20110492A NO344432B1 (en) 2008-09-03 2011-03-30 Procedure for modeling an underground region of the earth
US14/710,277 US20150316668A1 (en) 2008-09-03 2015-05-12 Method of modelling a subterranean region of the earth

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB0816041.8A GB2463242B (en) 2008-09-03 2008-09-03 Method of modelling a subterranean region of the earth

Publications (3)

Publication Number Publication Date
GB0816041D0 true GB0816041D0 (en) 2008-10-08
GB2463242A GB2463242A (en) 2010-03-10
GB2463242B GB2463242B (en) 2012-11-07

Family

ID=39866188

Family Applications (1)

Application Number Title Priority Date Filing Date
GB0816041.8A Active GB2463242B (en) 2008-09-03 2008-09-03 Method of modelling a subterranean region of the earth

Country Status (5)

Country Link
US (2) US9069100B2 (en)
CA (1) CA2735915C (en)
GB (1) GB2463242B (en)
NO (1) NO344432B1 (en)
WO (1) WO2010026198A2 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115267903A (en) * 2022-06-13 2022-11-01 中国人民解放军国防科技大学 Seismic reservoir prediction evaluation method based on guided filtering denoising
CN116882760A (en) * 2023-08-09 2023-10-13 北京建筑大学 Main aftershock risk interval calculation method and system based on Bayesian updating principle

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US8437962B2 (en) * 2009-11-25 2013-05-07 Halliburton Energy Services, Inc. Generating probabilistic information on subterranean fractures
US8886502B2 (en) * 2009-11-25 2014-11-11 Halliburton Energy Services, Inc. Simulating injection treatments from multiple wells
US8392165B2 (en) * 2009-11-25 2013-03-05 Halliburton Energy Services, Inc. Probabilistic earth model for subterranean fracture simulation
US9176245B2 (en) * 2009-11-25 2015-11-03 Halliburton Energy Services, Inc. Refining information on subterranean fractures
US8898044B2 (en) 2009-11-25 2014-11-25 Halliburton Energy Services, Inc. Simulating subterranean fracture propagation
US8358561B2 (en) * 2010-04-13 2013-01-22 Spectraseis Ag Bayesian DHI for seismic data
CN101980053B (en) * 2010-10-18 2013-12-18 中国石油化工股份有限公司 Complicated reef flat reservoir predicting method
US20130261981A1 (en) * 2012-04-03 2013-10-03 Westerngeco L.L.C. Covariance estimation using sparse wavelet representation
GB2515220B (en) * 2012-04-16 2017-10-25 Total Sa A method for determining a lithology map
AU2012377770B2 (en) * 2012-04-24 2017-03-30 Equinor Energy As Processing data representing a physical system
AU2013266805C1 (en) 2012-05-24 2018-06-21 Exxonmobil Upstream Research Company System and method for predicting rock strength
US9002766B2 (en) 2012-08-31 2015-04-07 Chevron U.S.A. Inc. System and method for determining a value of information metric from a posterior distribution generated through stochastic inversion
US9183182B2 (en) * 2012-08-31 2015-11-10 Chevron U.S.A. Inc. System and method for determining a probability of well success using stochastic inversion
EP3171203B1 (en) * 2015-11-18 2019-01-02 CGG Services SAS Adaptive ensemble-based method and device for highly-nonlinear problems
WO2017100228A1 (en) * 2015-12-09 2017-06-15 Schlumberger Technology Corporation Electrofacies determination
US10310117B2 (en) 2016-02-03 2019-06-04 Exxonmobil Upstream Research Company Efficient seismic attribute gather generation with data synthesis and expectation method
CN106324674B (en) * 2016-08-23 2018-06-12 中国石油大学(华东) A kind of shale gas TOC pre-stack seismic inversion Forecasting Methodologies
US10678967B2 (en) * 2016-10-21 2020-06-09 International Business Machines Corporation Adaptive resource reservoir development
CA3062544A1 (en) 2017-05-09 2018-11-15 Chevron U.S.A. Inc. System and method for assessing the presence of hydrocarbons in a subterranean reservoir based on seismic data
WO2019236078A1 (en) 2018-06-06 2019-12-12 Landmark Graphics Corporation Geological data assessment system
CN111812743B (en) * 2019-04-10 2022-02-11 中国石油化工股份有限公司 Identification method of single sand body of reservoir
CN111679341B (en) * 2020-06-28 2022-04-15 中国石油大学(华东) Method for rapidly determining braid flow zone and internal microphase combination relationship
US20220137257A1 (en) * 2020-10-30 2022-05-05 Landmark Graphics Corporation Systems and methods to analyze a formation
CN113159321B (en) * 2021-04-07 2022-05-20 中南大学 Bayes inference method for fracture surface morphology under gravity constraint
CN117724154B (en) * 2024-02-05 2024-04-30 中国石油大学(华东) VTI medium parameter prediction method considering strong anisotropy characteristics

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US5416750A (en) * 1994-03-25 1995-05-16 Western Atlas International, Inc. Bayesian sequential indicator simulation of lithology from seismic data
FR2734069B1 (en) * 1995-05-12 1997-07-04 Inst Francais Du Petrole METHOD FOR PREDICTING, BY AN INVERSION TECHNIQUE, THE EVOLUTION OF THE PRODUCTION OF AN UNDERGROUND DEPOSIT
US5838634A (en) * 1996-04-04 1998-11-17 Exxon Production Research Company Method of generating 3-D geologic models incorporating geologic and geophysical constraints
US5995906A (en) * 1997-10-03 1999-11-30 Western Atlas International, Inc. Method for reconciling data at seismic and well-log scales in 3-D earth modeling
GB2409900B (en) * 2004-01-09 2006-05-24 Statoil Asa Processing seismic data representing a physical system
MX2007000170A (en) * 2004-07-07 2007-03-30 Exxonmobil Upstream Res Co Bayesian network applications to geology and geographics.
US20090164186A1 (en) * 2007-12-20 2009-06-25 Bhp Billiton Innovation Pty Ltd. Method for determining improved estimates of properties of a model

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115267903A (en) * 2022-06-13 2022-11-01 中国人民解放军国防科技大学 Seismic reservoir prediction evaluation method based on guided filtering denoising
CN115267903B (en) * 2022-06-13 2023-12-08 中国人民解放军国防科技大学 Seismic reservoir prediction evaluation method based on guided filtering denoising
CN116882760A (en) * 2023-08-09 2023-10-13 北京建筑大学 Main aftershock risk interval calculation method and system based on Bayesian updating principle
CN116882760B (en) * 2023-08-09 2024-04-09 北京建筑大学 Main aftershock risk interval calculation method and system based on Bayesian updating principle

Also Published As

Publication number Publication date
US20110172977A1 (en) 2011-07-14
US20150316668A1 (en) 2015-11-05
CA2735915C (en) 2021-02-09
GB2463242B (en) 2012-11-07
US9069100B2 (en) 2015-06-30
NO20110492A1 (en) 2011-06-03
GB2463242A (en) 2010-03-10
WO2010026198A3 (en) 2010-05-06
NO344432B1 (en) 2019-12-09
WO2010026198A2 (en) 2010-03-11
CA2735915A1 (en) 2010-03-11

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